Large language models / Stephan Raaijmakers.
Material type:
TextOriginal language: English Publisher: Cambridge, Massachusetts : The MIT Press, 2025Description: 292 páginas ; 18 centímetrosContent type: - texto
- sin mediación
- volumen
- 978026252691
- 23 006.33 R111
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BIBLIOTECA CENTRAL General | 006.33 R111 (Browse shelf(Opens below)) | Ej.:1 | Available (Sin Restricciones) | 089055 |
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| 006.31 B622 Pattern recognition and machine learning / | 006.31 M978 Machine learning : a probabilistic perspective / | 006.312 W829d Data mining : practical machine learning tools and techniques. | 006.33 R111 Large language models / | 006.37 C965p Procesamiento digital de imágenes usando MatLAB & Simulink / | 006.37 C965p Procesamiento digital de imágenes usando MatLAB & Simulink / | 006.6 A297m Unleashed : Macromedia Web Publishing / |
In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large Language Models (LLMs), describing what exactly they are capable of from a technical and creative standpoint. This concise volume covers everything from the architecture of LLM neural networks to the limitations of LLMs to how our governments can regulate this technology. In explaining how exactly LLMs learn from data sets, Raaijmakers defangs the more sensational arguments we may be familiar with. Instead, he offers a more grounded approach to how this groundbreaking—and increasingly ubiquitous—form of artificial intelligence will shape our society for years to come.
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